MétaCan
Menu
Back to cohort
Record W1976491274 · doi:10.1021/nl034029n

Signal Transduction through Dye-Labeled M-DNA Y-Branched Junctions:  Switching Modulated by Chemical Reduction of Anthraquinone

2003· article· en· W1976491274 on OpenAlexaff
Shawn Wettig, Grant A. L. Bare, Ryan J. S. Skinner, Jeremy S. Lee

Bibliographic record

VenueNano Letters · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAnthraquinoneElectron transferQuenching (fluorescence)ChemistryDNABase pairPhotochemistryElectron acceptorElectron transport chainFluorescenceOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Metal-DNA (M-DNA) is a complex formed between duplex DNA and divalent metal ions which facilitates electron transfer. In this study, 90 base-pair DNA Y-branched junctions were prepared with the electron donor fluorescein attached to one arm and electron acceptors, rhodamine or anthraquinone, to the other arms. Upon formation of M-DNA, the fluorescence of fluorescein was quenched by the electron acceptors, demonstrating that electron transfer could occur through the junction. As well, the quenching was modulated by chemical reduction of anthraquinone, mimicking a chemical switch. Base-pairing defects at the point of the junction were observed to have only a small impact on the quenching, demonstrating the robust nature of electron transfer in M-DNA. Therefore, M-DNA may have extraordinary potential for the development of nanoelectronic devices.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.239
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations35
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueNano LettersSame topicAdvanced biosensing and bioanalysis techniquesFrench-language works237,207